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Comparison of multi-objective and single-objective approaches in feasibility enhanced particle swarm optimization
Date
2020-01-01
Author
Hasanoglu, Mehmet Sinan
Dölen, Melik
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this study, solutions for multi-objective constrained problems and their fixed weight linearly aggregated single-objective variants were obtained using the Pareto based multi-objective feasibility enhanced particle swarm optimization and single-objective approaches respectively. Comparisons involving three problems (two of which were highly constrained) revealed that optimizations performed using the multi-objective approach resulted in solutions that were also suitable for all single-objective criteria. With the multi-objective approach, objectives can be weighted after the optimization run and trade-offs can be performed without repeating the run.
Subject Keywords
General Engineering
,
Architecture
URI
https://hdl.handle.net/11511/38933
Journal
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
DOI
https://doi.org/10.17341/gazimmfd.437579
Collections
Department of Mechanical Engineering, Article
Citation Formats
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BibTeX
M. S. Hasanoglu and M. Dölen, “Comparison of multi-objective and single-objective approaches in feasibility enhanced particle swarm optimization,”
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
, vol. 35, no. 2, pp. 887–900, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38933.